Comprises a collection of papers on the subject of estimating functions, designed to provide statisticians with an overview of both theory and applications in biostatistics, stochastic processes and survey sampling.

This volume comprises a comprehensive collection of original papers on the subject of estimating functions. It is intended to provide statisticians with an overview of both the theory and the applications of estimating functions in biostatistics, stochastic processes, and survey sampling. From the early 1960s when the concept of optimality criterion was first formulated, together with later work on optimal estimating functions, this subject has become both an active research area in its own right and also a corner-stone of the modern theory of statistics. Individual chapters have been written by experts in their respective fields and as a result this volume will be an invaluable reference guide to this topic as well as providing an introduction to the area for non-experts.